Big Data Analytics with Hadoop 3 eBook

Build Powerful Analytics Solutions by Coming to Grips with This Top Platform For Big Data Processing

Description

Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.

Access 482 pages & 14 hours and 27 minutes of content 24/7

Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce

Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples

Learn how to integrate Hadoop with R and Python for more efficient big data processing

Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics

MySQL 8 for Big Data eBook

Learn How to Efficiently Use MySQL 8 to Manage Data for your Big Data Applications

Description

With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.

Access 266 pages & 7 hours and 58 minutes of content 24/7

Explore the features of MySQL 8 & how they can be leveraged to handle Big Data

Unlock the new features of MySQL 8 for managing structured & unstructured Big Data

Dive into integrating MySQL 8 & Hadoop for efficient data processing

Learn how to perform aggregation using MySQL 8 for optimum data utilization

Instructor

Instructor

Chintan Mehta is a co-founder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, RIMS, and on open source technologies. He is also an AWS Certified Solutions Architect.

Shabbir Challawala has over 8 years of rich experience in providing solutions based on MySQL and PHP technologies. He is currently working with KNOWARTH Technologies. He has worked in various PHP-based e-commerce solutions and learning portals for enterprises. He has worked on different PHP-based frameworks, such as Magento E-commerce, Drupal CMS, and Laravel.

Kandarp Patel leads PHP practices at KNOWARTH Technologies. He has vast experience in providing end-to-end solutions in CMS, LMS, WCM, and e-commerce, along with various integrations for enterprise customers. He has over 9 years of rich experience in providing solutions in MySQL, MongoDB, and PHP-based frameworks. Kandarp is also a certified MongoDB and Magento developer.

Jaydip Lakhatariya has rich experience in portal and J2EE frameworks. He adapts quickly to any new technology and has a keen desire for constant improvement. Currently, Jaydip is associated with a leading open source enterprise development company, KNOWARTH Technologies, where he is engaged in various enterprise projects.

Modern Big Data Processing with Hadoop eBook

Description

The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users. This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. By the end of this book, you will have all the knowledge you need to build expert Big Data systems.

Instructor

Instructor

Naresh Kumar has more than a decade of professional experience in designing, implementing, and running very-large-scale Internet applications in Fortune Top 500 companies. He is a full-stack architect with hands-on experience in domains such as ecommerce, web hosting, healthcare, big data and analytics, data streaming, advertising, and databases. He believes in open source and contributes to it actively. Naresh keeps himself up-to-date with emerging technologies, from Linux systems internals to frontend technologies. He studied in BITS-Pilani, Rajasthan with dual degree in computer science and economics.

Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and resolving data challenges for major retail brands. He is a hands-on architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on innovation in data processing and analytics. He presently works for a large USA-based retail company.

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7 hours

Big Data Analytics with SAS eBook

Leverage the Capabilities of SAS to Process & Analyze Big Data

Description

SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one’s career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data.

Instructor

Instructor

David Pope has worked for SAS for over 26 years in a variety of departments, including research and development (R&D), information technology (IT), SAS Solutions on Demand (SSOD), and sales and marketing. He graduated from North Carolina State University with a bachelor’s of science in industrial engineering and a certificate in computer programming. He started his career with SAS, testing and writing code for the SAS system in R&D using C, Java, and of course SAS programming languages.

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Content

15 hours

Big Data Analytics with R eBook

Utilize R to Uncover Hidden Patterns in Your Big Data

Description

Big Data analytics is the process of examining large and complex data sets that often exceed computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. This book will begin with a brief look at the Big Data world and its current industry standards, with an introduction to the R language and presenting its development, structure, applications in the real world, and its shortcomings.

Access 506 pages & 15 hours and 10 minutes of content 24/7

Learn about the current state of Big Data processing using the R programming language & its powerful statistical capabilities

Instructor

Instructor

Simon Walkowiak is a cognitive neuroscientist and a managing director of Mind Project Ltd – a Big Data and Predictive Analytics consultancy based in London, United Kingdom. As a former data curator at the UK Data Service (UKDS, University of Essex) – European largest socio-economic data repository, Simon has an extensive experience in processing and managing large-scale datasets such as censuses, sensor and smart meter data, telecommunication data and well-known governmental and social surveys such as the British Social Attitudes survey, Labour Force surveys, Understanding Society, National Travel survey, and many other socio-economic datasets collected and deposited by Eurostat, World Bank, Office for National Statistics, Department of Transport, NatCen and International Energy Agency, to mention just a few. Simon has delivered numerous data science and R training courses at public institutions and international companies. He has also taught a course in Big Data Methods in R at major UK universities and at the prestigious Big Data and Analytics Summer School organized by the Institute of Analytics and Data Science (IADS).

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Content

12.5 hours

Big Data Analytics with Java eBook

Description

This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This title is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.

Access 418 pages & 12 hours and 32 minutes of content 24/7

Start from simple analytic tasks on big data

Get into more complex tasks w/ predictive analytics on big data using machine learning

Instructor

Instructor

Rajat Mehta is a VP (Technical Architect) in technology in JP Morgan Chase in New York. He is a sun certified java developer and has worked on java related technologies for more than 16 years. His current role for the past few years heavily involves the usage of big data stacks and running analytics on them. He is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent writer on dev magazines.

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Content

11 hours

Artificial Intelligence for Big Data eBook

Build Next-Generation Artificial Intelligence Systems with Java

Description

In this age of big data, companies have a larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for Big Data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis.

Instructor

Instructor

Manish Kumar is a Technical Architect at DataMetica Solution Pvt. Ltd.. He has approximately 11 years’ experience in data management, working as a Data Architect and Product Architect. He has extensive experience in building effective ETL pipelines, implementing security over Hadoop, and providing the best possible solutions to data science problems. Before joining the world of big data, he worked as an Tech Lead for Sears Holding, India. He is a regular speaker on big data concepts such as Hadoop and Hadoop Security in various events. Manish has a Bachelor’s degree in Information Technology and he is Co-Author of Building Data Streaming Application with Apache Kafka.

Anand Deshpande is the Director of big data delivery at Datametica Solutions. He is responsible for partnering with clients on their data strategies and helps them become data-driven. He has extensive experience with big data ecosystem technologies. He has developed a special interest in data science, cognitive intelligence, and an algorithmic approach to data management and analytics. He is a regular speaker on data science and big data at various events.

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Content

12 hours

Practical Big Data Analytics eBook

Get Command of Your Organizational Big Data Using the Power of Data Science & Analytics

Description

Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization’s data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that.

Access 412 pages & 12 hours and 21 minutes of content 24/7

Get a 360-degree view into the world of Big Data, data science & machine learning

Dive into a broad range of technical & business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives

Instructor

Instructor

Nataraj Dasgupta is the vice president of advanced analytics at RxDataScience Inc. Nataraj has been in the IT industry for more than 19 years, and has worked in the technical and analytics divisions of Philip Morris, IBM, UBS Investment Bank, and Purdue Pharma. At Purdue Pharma, Nataraj led the data science division, where he developed the company’s award-winning big data and machine learning platform. Prior to Purdue, at UBS, he held the role of Associate Director, working with high-frequency and algorithmic trading technologies in the foreign exchange trading division of the bank.

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26.5 hours

Scala & Spark for Big Data Analytics eBook

Leverage the Power of Scala & Spark to Make Sense of Big Data

Description

Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.

Instructor

Instructor

Md. Rezaul Karim has more than 8 years of experience in the area of research and development with a solid knowledge of algorithms and data structures in C/C++, Java, Scala, R, and Python focusing Big Data technologies: Spark, Kafka, DC/OS, Docker, Mesos, Zeppelin, Hadoop, and MapReduce and Deep Learning technologies: TensorFlow, DeepLearning4j and H2O-Sparking Water. His research interests include Machine Learning, Deep Learning, Semantic Web/Linked Data, Big Data, and Bioinformatics.

Sridhar Alla is a big data expert helping companies solve complex problems in distributed computing, large scale data science and analytics practice. He holds a bachelor’s in computer science from JNTU, India. He loves writing code in Python, Scala, and Java. He also has extensive hands-on knowledge of several Hadoop-based technologies, TensorFlow, NoSQL, IoT, and deep learning.

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Content

8.5 hours

Frank Kane's Taming Big Data with Apache Spark & Python eBook

Get Hands-On Insight for Using the Next Big Thing in the Big Data Domain

Description

Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you’ll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses.

Access 296 pages & 8 hours and 52 minutes of content 24/7

Find out how you can identify Big Data problems as Spark problems

Learn how to install & run Apache Spark on your computer or on a cluster

Dive into Analyzing large data sets across many CPUs using Spark’s Resilient Distributed Datasets

Explore Implementing machine learning on Spark using the MLlib library

Learn how to process continuous streams of data in real time using the Spark streaming module

Instructor

Instructor

Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.

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